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1. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study

Author

Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Miller, Victoria, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, Zhang, Xiaohe, Swaminathan, Sumathi, Dagenais, Gilles, Gupta, Rajeev, Mohan, Viswanathan, Lear, Scott, Bangdiwala, Shrikant I, Schutte, Aletta E, Wentzel-Viljoen, Edelweiss, Avezum, Alvaro, Altuntas, Yuksel, Yusoff, Khalid, Ismail, Noorhassim, Peer, Nasheeta, Chifamba, Jephat, Diaz, Rafael, Rahman, Omar, Mohammadifard, Noushin, Lana, Fernando, Zatonska, Katarzyna, Wielgosz, Andreas, Yusufali, Afzalhussein, Iqbal, Romaina, Lopez-Jaramillo, Patricio, Khatib, Rasha, Rosengren, Annika, Li, Wei, Liu, Jiankang, Liu, Xiaoyun, Yin, Lu, Teo, Koon, Anand, Sonia, and Yusuf, Salim

Published
2017
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2. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study

Author

Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Dehghan, Mahshid, Mente, Andrew, Zhang, Xiaohe, Swaminathan, Sumathi, Li, Wei, Mohan, Viswanathan, Iqbal, Romaina, Kumar, Rajesh, Wentzel-Viljoen, Edelweiss, Rosengren, Annika, Amma, Leela Itty, Avezum, Alvaro, Chifamba, Jephat, Diaz, Rafael, Khatib, Rasha, Lear, Scott, Lopez-Jaramillo, Patricio, Liu, Xiaoyun, Gupta, Rajeev, Mohammadifard, Noushin, Gao, Nan, Oguz, Aytekin, Ramli, Anis Safura, Seron, Pamela, Sun, Yi, Szuba, Andrzej, Tsolekile, Lungiswa, Wielgosz, Andreas, Yusuf, Rita, Hussein Yusufali, Afzal, Teo, Koon K, Rangarajan, Sumathy, Dagenais, Gilles, Bangdiwala, Shrikant I, Islam, Shofiqul, Anand, Sonia S, and Yusuf, Salim

Published
2017
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3. Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study

Author

Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Merchant, A, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Bangdiwala, S, Dyal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Arshad, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, McAlpine, G, Kay, I, Lindeman, J, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Riggi, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Iyengar, Y, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Bengtsson Boström, K, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, McQueen, Matthew, Dagenais, Gilles, Wielgosz, Andreas, Lear, Scott, Li, Wei, Chen, Hui, Wang, Yang, Diaz, Rafael, Avezum, Alvaro, Lopez-Jaramillo, Patricio, Seron, Pamela, Kumar, Rajesh, Gupta, Rajeev, Mohan, Viswanathan, Swaminathan, Sumathi, Kutty, Raman, Zatonska, Katarzyna, Iqbal, Romaina, Yusuf, Rita, Mohammadifard, Noushin, Khatib, Rasha, Nasir, Nafiza Mat, Ismail, Noorhassim, Oguz, Aytekin, Rosengren, Annika, Yusufali, Afzalhussein, Wentzel-Viljoen, Edelweiss, Puoane, Thandi, Chifamba, Jephat, Teo, Koon, Anand, Sonia S, and Yusuf, Salim

Published
2017
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4. Availability and affordability of blood pressure-lowering medicines and the effect on blood pressure control in high-income, middle-income, and low-income countries: an analysis of the PURE study data

Author

Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Dayal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, Kay, I, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Lindeman, J, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Maini Cuneo, JM, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, JiaXuan, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, BianRongwen, TianXiuzhen, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Shankar, K, Kurpad, AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow#, R, Ferus, M, Regulska-Ilow, B, Różańska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Lindblad, U, Langkilde, P, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Pettersson, K, Moberg, E, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Akalin, AAK, Calik, KBT, Imeryuz, N, Temizhan, A, Alphan, E, Gunes, E, Sur, H, Karsidag, K, Gulec, S, Altuntas, Y, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Shaibani, H Al, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Shuwaihi, SM Al, Omairi, MA Al, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Attaei, Marjan W, Khatib, Rasha, McKee, Martin, Lear, Scott, Dagenais, Gilles, Igumbor, Ehimario U, AlHabib, Khalid F, Kaur, Manmeet, Kruger, Lanthe, Teo, Koon, Lanas, Fernando, Yusoff, Khalid, Oguz, Aytekin, Gupta, Rajeev, Yusufali, Afzalhussein M, Bahonar, Ahmad, Kutty, Raman, Rosengren, Annika, Mohan, Viswanathan, Avezum, Alvaro, Yusuf, Rita, Szuba, Andrzej, Rangarajan, Sumathy, Chow, Clara, and Yusuf, Salim

Published
2017
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5. Analysis of Thermal Insulation Thickness for a Container House in the Yanqing Zone of the Beijing 2022 Olympic and Paralympic Winter Games

Author

Yurou, Tong, Hui, Yang, Li, Bao, Baoxia, Guo, Yanzhuo, Shi, and Congcong, Wang

Subjects
Heating, Beijing, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Polystyrenes, Seasons, Sports, container house, insulation materials, energy efficiency, carbon emission, economic analysis
Abstract

A large number of temporary housings (THs) were used in the Yanqing zone of the Beijing 2022 Olympic and Paralympic Winter Games. Taking a kind of container house (CH) used in Yanqing zone as a model, the objective of this paper is to analyze the effect of insulation thickness on heating energy consumption and corresponding carbon emission. The effect of service life of THs on economic thickness was also discussed. The simulation model was developed using EnergyPlus and the heating energy consumption with different insulation materials was simulated based on the meteorological parameters of the top of Xiaohaituo Mountain (2177.5 m) and the Olympic/Paralympic Village (950 m) in Yanqing zone. In the simulation process, the thermal insulation performance of the CH was enhanced with reference to the requirements of GB/T 51350-2019 Technical Standard for Nearly Zero Energy Buildings (NZEB) on one hand. Additionally, the insulation performance was evaluated in terms of payback period and carbon emission. On the other hand, the economic thickness of different insulation materials (rock wool (RW), extruded polystyrene (XPS), polyurethane (PU)) and the high performance vacuum insulation panel (HVIP)) for different service lives of CH was studied. Results show that the U-values of the envelope meeting the NZEB standard can decrease approximately 21.4–32.8% of the heating energy consumption, compared with the original envelope. When the service life of CH is extended to 20 years, the carbon emission is reduced by 18.5% and 29.5%. The payback period of HVIP is longest, up to 31.4 a, and the results of economic thickness show that when the service life of the CH ranges from 1 year to 20 years, the economic thickness range of RW is 47–235 mm, XPS is 41–197 mm, PU is 33–149 mm and HVIP is 4–18 mm at the altitude of 2177.5 m. At the altitude of 950 m, the economic thickness range of RW is 28–158 mm, XPS is 26–131 mm, PU is 25–118 mm, and HVIP is 2–12 mm. From an economic point of view, the service life of a CH has a significant impact on the choice of insulation thickness.

Published
2022

6. Assessing global risk factors for non-fatal injuries from road traffic accidents and falls in adults aged 35–70 years in 17 countries: a cross-sectional analysis of the Prospective Urban Rural Epidemiological (PURE) study

Author

Raina, Parminder, Sohel, Nazmul, Oremus, Mark, Shannon, Harry, Mony, Prem, Kumar, Rajesh, Li, Wei, Wang, Yang, Wang, Xingyu, Yusoff, Khalid, Yusuf, Rita, Iqbal, Romaina, Szuba, Andrzej, Oguz, Aytekin, Rosengren, Annika, Kruger, Annamarie, Chifamba, Jephat, Mohammadifard, Noushin, Darwish, Ebtihal Ahmad, Dagenais, Gilles, Diaz, Rafael, Avezum, Alvaro, Lopez-Jaramillo, Patricio, Seron, Pamela, Rangarajan, Sumathy, Teo, Koon, Yusuf, Salim, Yusuf, S, Rangarajan, S, Teo, KK, Chow, C K, OʼDonnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Islam, S, Zhang, M, Hu, W, Wong, G, Manandhar, N, Dehghan, M, Royerr, M, DeJesus, J, Lewis, G, Mackie, P, Farago, L, Kay, I, Agapay, D, Solano, R, Ramacham, S, Kandy, N, Rimac, J, Trottier, S, ElSheikh, W, Mustaha, M, Tongana, T, Aoucheva, N, Swallow, J, Ramezani, E, Lindeman, J, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PACamacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, S Thakur, J, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Różańska, D, Wolyniec, M, Kruger, A, Voster, HH, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Bengtsson Boström, K, Lindblad, U, Langkilde, P, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Pettersson, K, Moberg, E, Oguz, A, Akalin, AAK, Calik, KBT, Imeryuz, N, Temizhan, A, Alphan, E, Gunes, E, Sur, H, Karsidag, K, Gulec, S, Altuntas, Y, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Omer Awed, SA, Movahedi, GA, Hussain, F, Shaibani, H Al, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Shuwaihi, SM Al, Omairi, MA Al, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Mrambiwa, P, Machiweni, T, and Mapanga, R

Published
2016
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7. Fruit, vegetable, and legume intake and the risk of all-cause, cardiovascular, and cancer mortality: A prospective study

Author

Weida Liu, Bo Hu, Mahshid Dehghan, Andrew Mente, Chuangshi Wang, Ruohua Yan, Sumathy Rangarajan, Lap Ah Tse, Salim Yusuf, Xiaoyun Liu, Yang Wang, Deren Qiang, Lihua Hu, Aiying Han, Xincheng Tang, Lisheng Liu, Wei Li, Chunming Chen, Wenhua Zhao, Lu Yin, Jun Zhu, Yan Liang, Yi Sun, Qing Deng, Xuan Jia, Xinye He, Hongye Zhang, Jian Bo, Xingyu Wang, Xu Liu, Nan Gao, Xiulin Bai, Chenrui Yao, Xiaoru Cheng, Sidong Li, Xinyue Lang, Yibing Zhu, Liya Xie, Zhiguang Liu, Yingjuan Ren, Xi Dai, Liuning Gao, Liping Wang, Yuxuan Su, Guoliang Han, Rui Song, Zhuangni Cao, Yaya Sun, Xiangrong Li, Jing Wang, Li Wang, Ya Peng, Xiaoqing Li, Ling Li, Jia Wang, Jianmei Zou, Fan Gao, Shaofang Tian, Lifu Liu, Yongmei Li, Yanhui Bi, Xin Li, Anran Zhang, Dandan Wu, Ying Cheng, Yize Xiao, Fanghong Lu, Yindong Li, Yan Hou, Liangqing Zhang, Baoxia Guo, Xiaoyang Liao, Di Chen, Peng Zhang, Ning Li, Xiaolan Ma, Rensheng Lei, Minfan Fu, Yu Liu, Xiaojie Xing, Youzhu Yang, Shenghu Zhao, Quanyong Xiang, Jinhua Tang, Zhengrong Liu, Xiaoxia Li, Zhengting Xu, Ayoupu Aideeraili, and Qian Zhao

Subjects
0301 basic medicine, Adult, Male, China, 030209 endocrinology & metabolism, Disease, Critical Care and Intensive Care Medicine, Lower risk, Diet Surveys, 03 medical and health sciences, Eating, 0302 clinical medicine, Interquartile range, Cause of Death, Neoplasms, Surveys and Questionnaires, Vegetables, Medicine, Humans, Prospective Studies, Prospective cohort study, Legume, Proportional Hazards Models, 030109 nutrition & dietetics, Nutrition and Dietetics, business.industry, Incidence, Hazard ratio, Cancer, Fabaceae, Middle Aged, medicine.disease, Chinese people, Diet, Cardiovascular Diseases, Fruit, Female, business, Demography
Abstract

Summary Background & aims Although fruits and vegetable consumption has been shown to be associated with lower risks of mortality, cancers, and cardiovascular disease (CVD), there are limited data from China on the shape of the association. This study aimed to quantify the relationship between levels of fruit, vegetable, and legume consumption with the risk of major CVD, CVD mortality, cancer incidence, cancer mortality, and all-cause mortality. Methods In the baseline survey, participants attended 1 of 115 (45 urban and 70 rural) communities from 12 provinces to complete a standardized questionnaire, and undergo a physical examination between 2005 and 2009, and were followed up till 2017 (for the current analysis). Diet was assessed through in-person interviews by using validated food-frequency questionnaires. The clinical outcomes were adjudicated centrally by trained physicians using standardized definitions. Cox frailty models were used to explore the associations between fruit, vegetable, and legume consumption with the risk of all-cause, CVD, and cancer mortality. Results A total of 41 243 participants were eligible for inclusion in the analyses. The average combined average daily intake of fruit, vegetable, and legume was 2.97 [standard deviation (SD) 1.22] servings per day. During a median follow-up of 8.9 years [interquartile range (IQR) 6.7–9.9 years], we recorded 1893 major CVDs, 794 cancer events, and 1324 deaths, with 411 CVD deaths and 429 cancer deaths. In the models adjusted for age, sex, and center (random effect), a higher total intake of fruit, vegetable, and legume was inversely associated with CVD mortality, cancer incidence, cancer mortality, and all-cause mortality. After adjusting for additional covariates, the associations were evidently attenuated and only the association with all-cause mortality (hazard ratio [HR] trend 0.92, 95% CI 0.86–0.98, p trend = 0.021) remained significant, with a non-significant trend for major CVD (HR trend 1.02, 95% CI 0.97–1.08, p trend = 0.449), CVD mortality (HR trend 0.94, 95% CI 0.84–1.06, p trend = 0.301), cancer incidence (HR trend 0.97, 95% CI 0.89–1.06, p trend = 0.540), or cancer mortality (HR trend 0.92, 95% CI 0.82–1.04, p trend = 0.174). Compared with the reference group, the risk of all-cause mortality was the lowest for four to five servings of total daily intake of fruit, vegetable, and legume (HR 0.73, 95% CI 0.55–0.97), and did not show a further decrease for the higher intake group. Separately, fruit intake was associated with a lower risk of all-cause mortality (HR trend 0.92, 95% CI 0.86–0.99, p trend = 0.020) and legume intake was associated with a lower risk of major CVD (HR trend 0.95, 95% CI 0.90–0.99, p trend = 0.028) and all-cause mortality (HR trend 0.94, 95% CI 0.89–0.99, p trend = 0.020) in the fully adjusted models. Conclusions This prospective study suggests that Chinese people with daily consumption of four to five servings (equivalent to 500–625 g/day) of fruit, vegetable, and legume demonstrated the lowest mortality, which conveys an encouraging message to the public that lifestyle modification to increase fruit, vegetable, and legume intakes may have greater beneficial effects on reducing all-cause mortality.

Published
2020

8. Interior daylight environment of an elderly nursing home in Beijing

Author

Hui Yang, Chen Jia, Baoxia Guo, Yanzhuo Shi, Fang Liu, and Xiaoyan Li

Subjects
Sunlight, Environmental Engineering, Geography, Planning and Development, Applied psychology, 0211 other engineering and technologies, Glare (vision), 02 engineering and technology, Building and Construction, 010501 environmental sciences, 01 natural sciences, Beijing, Daylight, 021108 energy, Older people, Nursing homes, Psychology, 0105 earth and related environmental sciences, Civil and Structural Engineering
Abstract

To improve the activity spaces and bedrooms in a nursing home for older adults in Beijing, the satisfaction of these individuals regarding an interior daylight environment was investigated through questionnaire surveys and illuminance measurements. A geometric model was then created according to the nursing home's building layout, and the Integrated Environmental Solutions (IES ) program was used to simulate an entire year of the interior daylight environment of these spaces. The validity of the simulation was verified with the measured values. The daylight environment for the entire year was analyzed based on simulation results that used both existing standards and the four-level criteria obtained from an on-site investigation. The results imply that older people's demand for sunlight might be determined not only by their visual requirements but also by psychological or physiological nonvisual requirements. Older individuals could even tolerate certain daylight glare environments due to their eagerness for sunshine. In different functional spaces, older adults have different expectations for sunlight illuminance.

Published
2021

9. Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese

Author

Jia Liu, Lap Ah Tse, Zhiguang Liu, Sumathy Rangarajan, Bo Hu, Lu Yin, Darryl P. Leong, Wei Li, Bing Liu, Chunming Chen, Guo Jin, Hongye Zhang, Hui Chen, Jian Bo, Jian Li, Juan Li, Jun Yang, Kean Wang, Li Zhang, Qing Deng, Ren Bing, Tao Chen, Tao Xu, Wei Wang, Wenhua Zhao, Xiaohong Chang, Xiaoru Cheng, Xinye He, Xixin Hou, Xingyu Wang, Xiulin Bai, Xiuwen Zhao, Xu Liu, Xuan Jia, Yang Wang, Yi Sun, Yi Zhai, Di Chen, Hui Jin, Jiwen Tian, Yumin Ma, Yindong Li, Chao He, Kai You, Songjian Zhang, Xiuzhen Tian, Xu Xu, Jinling Di, Jianquan Wu, Mei Wang, Qiang Zhou, Aiying Han, Minzhi Cao, Weiping Jiang, Deren Qiang, Jing Qin, Shan Qian, Suyi Shi, Yihong Zhou, Zhengrong Liu, Ming Wan, Jinhua Tang, Yongzhen Mo, Rongwen Bian, Qinglin Lou, Lihua Hu, Shuwei Xiong, Yan Zhong, Ning Li, Xincheng Tang, Shuli Ye, Chunyi Li, Yujin Li, Qiuyang Wang, Xiaoli Fu, Baoxia Guo, Huilian Feng, Lihui Xu, Haibin Ma, Ruiqi Wu, Yali Wang, Hongze Liu, Yurong Ma, Bo Yuan, Qian Zhao, Guofan Xu, Hui He, Jiankang Liu, Xin Wang, Ming Chen, Wenqing Deng, Zhendong Liu, Hua Zhang, Shangwen Sun, Shujian Wang, Yingkin Zhao, Yutao Diao, Xuezheng Shi, Chuanrui Wei, Jufang Wang, Guoqin Liu, Cuiying Wu, Guilan Ma, Hua Wei, Junying Wang, Xiongfei Bao, Yue Tang, Yahong Zhi, Ailing Wang, Huijuan Wang, Jianna Liu, Qinzhou Liu, Rong Wang, Aideer Aili, Ayoufumiti Wula, Aibi Bula, Dongmei Yang, Qian Wen, Yize Xiao, Qingping Shi, Ying Shao, Kehua Li, Wuba Bai, Jinkui Yang, Huaxing Liu, and Shunyun Yang

Subjects
Male, obesity, Index (economics), Epidemiology, Heart Valve Diseases, Coronary Disease, 030204 cardiovascular system & hematology, Body Mass Index, 0302 clinical medicine, Risk Factors, Cardiovascular Disease, Medicine, 030212 general & internal medicine, Original Research, 2. Zero hunger, Cardiometabolic risk, Anthropometry, Middle Aged, Predictive value, Myocarditis, Cardiovascular Diseases, Obesity, Abdominal, Hypertension, Female, Waist Circumference, Cardiomyopathies, Cardiology and Cardiovascular Medicine, Adult, China, adiposity indices, 03 medical and health sciences, Environmental health, Humans, Dyslipidemias, Heart Failure, Chinese population, Hip, Waist-Height Ratio, Waist-Hip Ratio, business.industry, nutritional and metabolic diseases, Arrhythmias, Cardiac, Lifestyle, medicine.disease, cardiometabolic risk factors, Obesity, predictors, Hyperglycemia, business
Abstract

Background The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases ( CVD s) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity‐related anthropometric indices (body mass index, waist circumference, hip circumference, waist‐to‐hip ratio, waist‐to‐height ratio) in Chinese population. Methods and Results A total of 44 048 participants in the study were derived from the baseline data of the PURE ‐China (Prospective Urban and Rural Epidemiology) study in China. All participants’ anthropometric parameters, CVD s, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity‐related anthropometric indices to the cardiometabolic risk factors and CVD s. A positive association was observed between each anthropometric index and cardiometabolic risk factors and CVD s in all models ( P AUC s) for predicting dyslipidemia ( AUC s: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia ( AUC s: 0.595, sensitivity: 60%, specificity: 45%), and CVD s ( AUC s: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure ( AUC s: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or CVD s than that of any other traditional obesity‐related indices. Conclusions Waist‐to‐height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and CVD s, while waist circumference had a better prediction for abnormal blood pressure.

Published
2019

10. Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study

Author

Shupler, Matthew, Hystad, Perry, Gustafson, Paul, Rangarajan, Sumathy, Mushtaha, Maha, Jayachtria, KG, Mony, Prem K, Mohan, Deepa, Kumar, Parthiban, Lakshmi, PVM, Sagar, Vivek, Gupta, Rajeev, Mohan, Indu, Nair, Sanjeev, Varma, Ravi Prasad, Li, Wei, Hu, Bo, You, Kai, Ncube, Tatenda, Ncube, Brian, Chifamba, Jephat, West, Nicola, Yeates, Karen, Iqbal, Romaina, Khawaja, Rehman, Yusuf, Rita, Khan, Afreen, Seron, Pamela, Lanas, Fernando, Lopez-Jaramillo, Patricio, Camacho, Paul A, Puoane, Thandi, Yusuf, Salim, Brauer, Michael, Yusuf, S, Rangarajan, S, Teo, KK, Anand, SS, Chow, CK, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Duong, M, Kurmi, O, D'Souza, R, Walli-Attaei, M, Balaji, B, Naito, R, Islam, S, Hu, W, Ramasundarahettige, C, Sheridan, P, Bangdiwala, S, Dyal, L, Casanova, A, Dehghan, M, Lewis, G, Agapay, D, Aliberti, A, Aoucheva, N, Arshad, A, Reyes, A, Bideri, B, Buthool, R, Chin, S, Di Marino, M, Frances, R, Gopal, S, Jakymyshn, M, Kandy, N, Kay, I, Lindeman, J, McAlpine, G, McNeice, E, Mushtaha, M, Patel, R, Pattath, D, Ramacham, S, Ramezani, E, Rimac, J, Shifaly, F, Swallow, J, Trottier, M, Trottier, S, Solano, R, Zaki, A, Zhang, B, Zhang, V, Rahman, O, Yusuf, R, Ahmed, SAKS, Choudhury, T, Sintaha, M, Khan, A, Alam, O, Nayeem, N, Mitra, SN, Pasha, F, Lanas, F, Seron, P, Oliveros, MJ, Cazor, F, Palacios, Y, Wei, Li, Lisheng, Liu, Jian, Bo, Bo, Hu, Lu, Yin, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Yi, Sun, Xingyu, Wang, Xiuwen, Zhao, Xinye, He, Tao, Chen, Hui, Chen, Xiaohong, Chang, Qing, Deng, Xiaoru, Cheng, Liya, Xie, Zhiguang, Liu, Juan, Li, Jian, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, BianRongwen, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Camacho-Lopez, PA, Otero-Wandurraga, J, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Narvaez, C, Sotomayor, A, Garcia, H, Sanchez, G, Cotes, F, Rico, A, Duran, M, Torres, C, Mony, P, Vaz, M, Swaminathan, S, Shankar, K, Kurpad, AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Anjana, RM, Dhanasekar, R, Sureshkumar, S, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, JS, Patro, B, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kaur, M, Sagar, V, Iqbal, R, Khawaja, R, Azam, I, Kazmi, K, Kruger, L, Kruger, A, Bestra, P, Voster, HH, Schutte, AE, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Swart, R, Igumbor, E, Tsolekile, L, Ndayi, K, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Jwili, B, Ndibaza, K, Egbujie, B, Yeates, K, Oresto, M, West, N, Chifamba, J, Ncube, T, Ncube, B, Chimhete, C, Neya, GK, Manenji, T, Gwaunza, L, Mapara, V, Terera, G, Mahachi, C, Murambiwa, P, Mapanga, R, Chinhara, A, Epidemiolo, Prospective Urban Rural, and Everest

Subjects
010504 meteorology & atmospheric sciences, Air pollution, 010501 environmental sciences, medicine.disease_cause, 01 natural sciences, Agricultural economics, Article, Country level, 11. Sustainability, medicine, Coal, Baseline (configuration management), 0105 earth and related environmental sciences, General Environmental Science, 2. Zero hunger, Kerosene, Renewable Energy, Sustainability and the Environment, business.industry, Multilevel model, 1. No poverty, Public Health, Environmental and Occupational Health, 13. Climate action, Environmental science, Survey data collection, Community setting, business
Abstract

Digital, Introduction. Switching from polluting (e.g. wood, crop waste, coal) to clean (e.g. gas, electricity) cooking fuels can reduce household air pollution exposures and climate-forcing emissions. While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood. Methods. We examined longitudinal survey data from 24 172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology study. We assessed household-level primary cooking fuel switching during a median of 10 years of follow up (∼2005–2015). We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching. Results. One-half of study households (12 369) reported changing their primary cooking fuels between baseline and follow up surveys. Of these, 61% (7582) switched from polluting (wood, dung, agricultural waste, charcoal, coal, kerosene) to clean (gas, electricity) fuels, 26% (3109) switched between different polluting fuels, 10% (1164) switched from clean to polluting fuels and 3% (522) switched between different clean fuels. Among the 17 830 households using polluting cooking fuels at baseline, household-level factors (e.g. larger household size, higher wealth, higher education level) were most strongly associated with switching from polluting to clean fuels in India; in all other countries, community-level factors (e.g. larger population density in 2010, larger increase in population density between 2005 and 2015) were the strongest predictors of polluting-to-clean fuel switching. Conclusions. The importance of community and sub-national factors relative to household characteristics in determining polluting-to-clean fuel switching varied dramatically across the nine countries examined. This highlights the potential importance of national and other contextual factors in shaping large-scale clean cooking transitions among rural communities in low- and middle-income countries., Ciencias Médicas y de la Salud

Published
2019

11. Prognostic validation of a non-laboratory and a laboratory based cardiovascular disease risk score in multiple regions of the world

Author

Viswanathan Mohan, Scott A. Lear, Quazi Ibrahim, Philip Joseph, Sumathy Rangarajan, Salim Yusuf, Patricio Lopez-Jaramillo, Alvaro Avezum, Ambigga Krishnapillai, Wenqi Zhao, Rita Yusuf, Rajamohanan K Pillai, Prem Mony, Baoxia Guo, Sadi Gulec, F Lanas, Annamarie Kruger, Youzhu Yang, Afzalhussein Yusufali, Rajesh Kumar, Annika Rosengren, Koon K. Teo, Andrzej Szuba, Sonia S. Anand, Rajeev Gupta, Jephat Chifamba, Romaina Iqbal, Rafael Diaz, Xu Liu, Noushin Mohammadifard, and Shun Fu Lee

Subjects
Adult, Male, INTERHEART risk score, Concordance, International Cooperation, 030204 cardiovascular system & hematology, Global Health, Risk Assessment, 03 medical and health sciences, risk prediction, 0302 clinical medicine, Risk Factors, cardiovascular disease, medicine, Humans, 030212 general & internal medicine, Myocardial infarction, Risk Score, 10. No inequality, Prospective cohort study, Stroke, Framingham Risk Score, business.industry, Reproducibility of Results, Middle Aged, medicine.disease, Prognosis, Cardiac Risk Factors and Prevention, 3. Good health, Cardiovascular Diseases, Research Design, Cohort, Population study, Female, Cardiology and Cardiovascular Medicine, Risk assessment, business, Demography
Abstract

7 p., Objective To evaluate the performance of the non-laboratory INTERHEART risk score (NL-IHRS) to predict incident cardiovascular disease (CVD) across seven major geographic regions of the world. The secondary objective was to evaluate the performance of the fasting cholesterol-based IHRS (FC-IHRS). Methods Using measures of discrimination and calibration, we tested the performance of the NL-IHRS (n=100 475) and FC-IHRS (n=107 863) for predicting incident CVD in a community-based, prospective study across seven geographic regions: South Asia, China, Southeast Asia, Middle East, Europe/North America, South America and Africa. CVD was defined as the composite of cardiovascular death, myocardial infarction, stroke, heart failure or coronary revascularisation. Results Mean age of the study population was 50.53 (SD 9.79) years and mean follow-up was 4.89 (SD 2.24) years. The NL-IHRS had moderate to good discrimination for incident CVD across geographic regions (concordance statistic (C-statistic) ranging from 0.64 to 0.74), although recalibration was necessary in all regions, which improved its performance in the overall cohort (increase in C-statistic from 0.69 to 0.72, p

Published
2018

12. Cardiovascular Diseases and Risk‐Factor Burden in Urban and Rural Communities in High‐, Middle‐, and Low‐Income Regions of China: A Large Community‐Based Epidemiological Study

Author

Ruohua Yan, Wei Li, Lu Yin, Yang Wang, Jian Bo, Lisheng Liu, Bing Liu, Bo Hu, Chunming Chen, Jin Guo, Hongye Zhang, Hui Chen, Jian Li, Juan Li, Jun Yang, Kean Wang, Li Zhang, Qing Deng, Bing Ren, Tao Chen, Tao Xu, Wei Wang, Wenhua Zhao, Xiaohong Chang, Xiaoru Cheng, Xinye He, Xixin Hou, Xingyu Wang, Xiulin Bai, Xiuwen Zhao, Xu Liu, Xuan Jia, Yi Sun, Yi Zhai, Dong Li, Di Chen, Hui Jin, Jiwen Tian, Yumin Ma, Yindong Li, Chao He, Kai You, Songjian Zhang, Xiuzhen Tian, Xu Xu, Jinling Di, Jianquan Wu, Mei Wang, Qiang Zhou, Shiying Zhang, Aiying Han, Minzhi Cao, Jianfang Wu, Weiping Jiang, Deren Qiang, Jing Qin, Shan Qian, Suyi Shi, Yihong Zhou, Zhenzhen Qian, Zhengrong Liu, Changlin Dong, Ming Wan, Jun Li, Jinhua Tang, Yongzhen Mo, Rongwen Bian, Qinglin Lou, Rensheng Lei, Lihua Hu, Shuwei Xiong, Yan Zhong, Ning Li, Xincheng Tang, Shuli Ye, Yu Liu, Chunyi Li, Yujin Li, Minfan Fu, Qiuyuan Wang, Xiaoli Fu, Xiaojie Xing, Baoxia Guo, Huilian Feng, Lihui Xu, Yuqing Yang, Haibin Ma, Ruiqi Wu, Yali Wang, Xiaolan Ma, Hongze Liu, Yurong Ma, Xiaoyang Liao, Bo Yuan, Qian Zhao, Guofan Xu, Hui He, Jiankang Liu, Xin Wang, Ming Chen, Wenqing Deng, Fanghong Lu, Zhendong Liu, Hua Zhang, Shangwen Sun, Shujian Wang, Yingxin Zhao, Yutao Diao, Xuezheng Shi, Debin Ren, Chuanrui Wei, Liangqing Zhang, Jufang Wang, Lianghou Fan, Guoqin Liu, Yan Hou, Cuiying Wu, Guilan Ma, Hua Wei, Junying Wang, Xiongfei Bao, Yue Tang, Tianlu Liu, Yahong Zhi, Peng Zhang, Ailing Wang, Huijuan Wang, Jianna Liu, Qinzhou Liu, Rong Wang, Jianguo Wu, Aideer Aili, Ayoufumiti Wula, Aibi Bula, Dongmei Yang, Qian Wen, Yize Xiao, Qingping Shi, Ying Shao, Jing He, Kehua Li, Wuba Bai, Jinkui Yang, Yunchun Jiang, Huaxing Liu, and Shunyun Yang

Subjects
Low income, Gerontology, Adult, Male, Rural Population, medicine.medical_specialty, China, Urban Population, Epidemiology, prevalence, Distribution (economics), 030204 cardiovascular system & hematology, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, Cost of Illness, cardiovascular disease, Risk Factors, Environmental health, Medicine, Humans, 030212 general & internal medicine, Socioeconomic status, Poverty, Original Research, socioeconomic region, Community based, business.industry, risk‐factor burden, 1. No poverty, urban and rural, Risk factor (computing), Middle Aged, 3. Good health, Epidemiologic Studies, Cardiovascular Diseases, Income, Female, Cardiology and Cardiovascular Medicine, business
Abstract

Background Most cardiovascular diseases occur in low‐ and middle‐income regions of the world, but the socioeconomic distribution within China remains unclear. Our study aims to investigate whether the prevalence of cardiovascular diseases differs among high‐, middle‐, and low‐income regions of China and to explore the reasons for the disparities. Methods and Results We enrolled 46 285 individuals from 115 urban and rural communities in 12 provinces across China between 2005 and 2009. We recorded their medical histories of cardiovascular diseases and calculated the INTERHEART Risk Score for the assessment of cardiovascular risk‐factor burden, with higher scores indicating greater burden. The mean INTERHEART Risk Score was higher in high‐ and middle‐income regions than in low‐income regions (9.47, 9.48, and 8.58, respectively, P P trend =0.0064). In high‐ and middle‐income regions, urban communities have higher INTERHEART Risk Score and higher prevalent rate than rural communities. In low‐income regions, however, the prevalence of total cardiovascular disease was similar between urban and rural areas despite the significantly higher INTERHEART Risk Score for urban settings. Conclusions We detected an inverse trend between risk‐factor burden and cardiovascular disease prevalence in urban and rural communities in high‐, middle‐, and low‐income regions of China. Such asymmetry may be attributed to the interregional differences in residents’ awareness, quality of healthcare, and availability and affordability of medical services.

Published
2017

13. Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study

Author

Mente, Andrew, primary, Dehghan, Mahshid, additional, Rangarajan, Sumathy, additional, McQueen, Matthew, additional, Dagenais, Gilles, additional, Wielgosz, Andreas, additional, Lear, Scott, additional, Li, Wei, additional, Chen, Hui, additional, Yi, Sun, additional, Wang, Yang, additional, Diaz, Rafael, additional, Avezum, Alvaro, additional, Lopez-Jaramillo, Patricio, additional, Seron, Pamela, additional, Kumar, Rajesh, additional, Gupta, Rajeev, additional, Mohan, Viswanathan, additional, Swaminathan, Sumathi, additional, Kutty, Raman, additional, Zatonska, Katarzyna, additional, Iqbal, Romaina, additional, Yusuf, Rita, additional, Mohammadifard, Noushin, additional, Khatib, Rasha, additional, Nasir, Nafiza Mat, additional, Ismail, Noorhassim, additional, Oguz, Aytekin, additional, Rosengren, Annika, additional, Yusufali, Afzalhussein, additional, Wentzel-Viljoen, Edelweiss, additional, Puoane, Thandi, additional, Chifamba, Jephat, additional, Teo, Koon, additional, Anand, Sonia S, additional, Yusuf, Salim, additional, Yusuf, S, additional, Rangarajan, S, additional, Teo, K K, additional, Chow, C K, additional, O'Donnell, M, additional, Mente, A, additional, Leong, D, additional, Smyth, A, additional, Joseph, P, additional, Merchant, A, additional, Islam, S, additional, Zhang, M, additional, Hu, W, additional, Ramasundarahettige, C, additional, Wong, G, additional, Bangdiwala, S, additional, Dyal, L, additional, Casanova, A, additional, Dehghan, M, additional, Lewis, G, additional, Aliberti, A, additional, Arshad, A, additional, Reyes, A, additional, Zaki, A, additional, Lewis, B, additional, Zhang, B, additional, Agapay, D, additional, Hari, D, additional, Milazzo, E, additional, Ramezani, E, additional, Hussain, F, additional, Shifaly, F, additional, McAlpine, G, additional, Kay, I, additional, Lindeman, J, additional, Rimac, J, additional, Swallow, J, additional, Heldman, L, additional, Mushtaha, M(a), additional, Mushtaha, M(o), additional, Trottier, M, additional, Riggi, M, additional, Aoucheva, N, additional, Kandy, N, additional, Mackie, P, additional, Solano, R, additional, Chin, S, additional, Ramacham, S, additional, Shahrook, S, additional, Trottier, S, additional, Tongana, T, additional, ElSheikh, W, additional, Iyengar, Y, additional, McQueen, M, additional, Hall, K, additional, Keys, J, additional, Wang, X, additional, Keneth, J, additional, Devanath, A, additional, Diaz, R, additional, Orlandini, A, additional, Linetsky, B, additional, Toscanelli, S, additional, Casaccia, G, additional, Cuneo, JM Maini, additional, Rahman, O, additional, Yusuf, R, additional, Azad, AK, additional, Rabbani, KA, additional, Cherry, HM, additional, Mannan, A, additional, Hassan, I, additional, Talukdar, AT, additional, Tooheen, RB, additional, Khan, MU, additional, Sintaha, M, additional, Choudhury, T, additional, Haque, R, additional, Parvin, S, additional, Avezum, A, additional, Oliveira, GB, additional, Marcilio, CS, additional, Mattos, AC, additional, Teo, K, additional, Dejesus, J, additional, Elsheikh, W, additional, Dagenais, G, additional, Poirier, P, additional, Turbide, G, additional, Auger, D, additional, De Bluts, A LeBlanc, additional, Proulx, MC, additional, Cayer, M, additional, Bonneville, N, additional, Lear, S, additional, Gasevic, D, additional, Corber, E, additional, de Jong, V, additional, Vukmirovich, I, additional, Wielgosz, A, additional, Fodor, G, additional, Pipe, A, additional, Shane, A, additional, Lanas, F, additional, Seron, P, additional, Martinez, S, additional, Valdebenito, A, additional, Oliveros, M, additional, Wei, Li, additional, Lisheng, Liu, additional, Chunming, Chen, additional, Xingyu, Wang, additional, Wenhua, Zhao, additional, Hongye, Zhang, additional, Xuan, Jia, additional, Bo, Hu, additional, Jian, Bo, additional, Xiuwen, Zhao, additional, Xiaohong, Chang, additional, Tao, Chen, additional, Hui, Chen, additional, Qing, Deng, additional, Xiaoru, Cheng, additional, Xinye, He, additional, Jian, Li, additional, Juan, Li, additional, Xu, Liu, additional, Bing, Ren, additional, Wei, Wang, additional, Yang, Wang, additional, Jun, Yang, additional, Yi, Zhai, additional, Manlu, Zhu, additional, Fanghong, Lu, additional, Jianfang, Wu, additional, Yindong, Li, additional, Yan, Hou, additional, Liangqing, Zhang, additional, Baoxia, Guo, additional, Xiaoyang, Liao, additional, Shiying, Zhang, additional, Rongwen, Bian, additional, Xiuzhen, Tian, additional, Dong, Li, additional, Di, Chen, additional, Jianguo, Wu, additional, Yize, Xiao, additional, Tianlu, Liu, additional, Peng, Zhang, additional, Changlin, Dong, additional, Ning, Li, additional, Xiaolan, Ma, additional, Yuqing, Yang, additional, Rensheng, Lei, additional, Minfan, Fu, additional, Jing, He, additional, Yu, Liu, additional, Xiaojie, Xing, additional, Qiang, Zhou, additional, Lopez-Jaramillo, P, additional, Lopez, PA Camacho, additional, Garcia, R, additional, Jurado, LJA, additional, Gómez-Arbeláez, D, additional, Arguello, JF, additional, Dueñas, R, additional, Silva, S, additional, Pradilla, LP, additional, Ramirez, F, additional, Molina, DI, additional, Cure-Cure, C, additional, Perez, M, additional, Hernandez, E, additional, Arcos, E, additional, Fernandez, S, additional, Narvaez, C, additional, Paez, J, additional, Sotomayor, A, additional, Garcia, H, additional, Sanchez, G, additional, David, T, additional, Rico, A, additional, Mony, P, additional, Vaz, M, additional, Bharathi, A V, additional, Swaminathan, S, additional, Kurpad, K Shankar AV, additional, Jayachitra, KG, additional, Kumar, N, additional, Hospital, HAL, additional, Mohan, V, additional, Deepa, M, additional, Parthiban, K, additional, Anitha, M, additional, Hemavathy, S, additional, Rahulashankiruthiyayan, T, additional, Anitha, D, additional, Sridevi, K, additional, Gupta, R, additional, Panwar, RB, additional, Mohan, I, additional, Rastogi, P, additional, Rastogi, S, additional, Bhargava, R, additional, Kumar, R, additional, Thakur, J S, additional, Patro, B, additional, Lakshmi, PVM, additional, Mahajan, R, additional, Chaudary, P, additional, Kutty, V Raman, additional, Vijayakumar, K, additional, Ajayan, K, additional, Rajasree, G, additional, Renjini, AR, additional, Deepu, A, additional, Sandhya, B, additional, Asha, S, additional, Soumya, HS, additional, Kelishadi, R, additional, Bahonar, A, additional, Mohammadifard, N, additional, Heidari, H, additional, Yusoff, K, additional, Ismail, TST, additional, Ng, KK, additional, Devi, A, additional, Nasir, NM, additional, Yasin, MM, additional, Miskan, M, additional, Rahman, EA, additional, Arsad, MKM, additional, Ariffin, F, additional, Razak, SA, additional, Majid, FA, additional, Bakar, NA, additional, Yacob, MY, additional, Zainon, N, additional, Salleh, R, additional, Ramli, MKA, additional, Halim, NA, additional, Norlizan, SR, additional, Ghazali, NM, additional, Arshad, MN, additional, Razali, R, additional, Ali, S, additional, Othman, HR, additional, Hafar, CWJCW, additional, Pit, A, additional, Danuri, N, additional, Basir, F, additional, Zahari, SNA, additional, Abdullah, H, additional, Arippin, MA, additional, Zakaria, NA, additional, Noorhassim, I, additional, Hasni, MJ, additional, Azmi, MT, additional, Zaleha, MI, additional, Hazdi, KY, additional, Rizam, AR, additional, Sazman, W, additional, Azman, A, additional, Khatib, R, additional, Khammash, U, additional, Khatib, A, additional, Giacaman, R, additional, Iqbal, R, additional, Afridi, A, additional, Khawaja, R, additional, Raza, A, additional, Kazmi, K, additional, Dans, A, additional, Co, HU, additional, Sanchez, JT, additional, Pudol, L, additional, Zamora-Pudol, C, additional, Palileo-Villanueva, LAM, additional, Aquino, MR, additional, Abaquin, C, additional, Pudol, SL, additional, Cabral, ML, additional, Zatonski, W, additional, Szuba, A, additional, Zatonska, K, additional, Ilow, R, additional, Ferus, M, additional, Regulska-Ilow, B, additional, Rózanska, D, additional, Wolyniec, M, additional, AlHabib, KF, additional, Hersi, A, additional, Kashour, T, additional, Alfaleh, H, additional, Alshamiri, M, additional, Altaradi, HB, additional, Alnobani, O, additional, Bafart, A, additional, Alkamel, N, additional, Ali, M, additional, Abdulrahman, M, additional, Nouri, R, additional, Kruger, A, additional, Voster, H H, additional, Schutte, A E, additional, Wentzel-Viljoen, E, additional, Eloff, FC, additional, de Ridder, H, additional, Moss, H, additional, Potgieter, J, additional, Roux, AA, additional, Watson, M, additional, de Wet, G, additional, Olckers, A, additional, Jerling, JC, additional, Pieters, M, additional, Hoekstra, T, additional, Puoane, T, additional, Igumbor, E, additional, Tsolekile, L, additional, Sanders, D, additional, Naidoo, P, additional, Steyn, N, additional, Peer, N, additional, Mayosi, B, additional, Rayner, B, additional, Lambert, V, additional, Levitt, N, additional, Kolbe-Alexander, T, additional, Ntyintyane, L, additional, Hughes, G, additional, Swart, R, additional, Fourie, J, additional, Muzigaba, M, additional, Xapa, S, additional, Gobile, N, additional, Ndayi, K, additional, Jwili, B, additional, Ndibaza, K, additional, Egbujie, B, additional, Rosengren, A, additional, Bengtsson Boström, K, additional, Gustavsson, A, additional, Andreasson, M, additional, Snällman, M, additional, Wirdemann, L, additional, Yeates, K, additional, Sleeth, J, additional, Kilonzo, K, additional, Oguz, A, additional, Imeryuz, N, additional, Altuntas, Y, additional, Gulec, S, additional, Temizhan, A, additional, Karsidag, K, additional, Calik, KBT, additional, Akalin, AAK, additional, Caklili, OT, additional, Keskinler, MV, additional, Erbakan, AN, additional, Yusufali, AM, additional, Almahmeed, W, additional, Swidan, H, additional, Darwish, EA, additional, Hashemi, ARA, additional, Al-Khaja, N, additional, Muscat-Baron, JM, additional, Ahmed, SH, additional, Mamdouh, TM, additional, Darwish, WM, additional, Abdelmotagali, MHS, additional, Awed, SA Omer, additional, Movahedi, GA, additional, Al Shaibani, H, additional, Gharabou, RIM, additional, Youssef, DF, additional, Nawati, AZS, additional, Salah, ZAR Abu, additional, Abdalla, RFE, additional, Al Shuwaihi, SM, additional, Al Omairi, MA, additional, Cadigal, OD, additional, Alejandrino, R.S., additional, Chifamba, J, additional, Gwaunza, L, additional, Terera, G, additional, Mahachi, C, additional, Murambiwa, P, additional, Machiweni, T, additional, and Mapanga, R, additional

Published
2017
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14. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study

Author

Miller, Victoria, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, Zhang, Xiaohe, Swaminathan, Sumathi, Dagenais, Gilles, Gupta, Rajeev, Mohan, Viswanathan, Lear, Scott, Bangdiwala, Shrikant I, Schutte, Aletta E, Wentzel-Viljoen, Edelweiss, Avezum, Alvaro, Altuntas, Yuksel, Yusoff, Khalid, Ismail, Noorhassim, Peer, Nasheeta, Chifamba, Jephat, Diaz, Rafael, Rahman, Omar, Mohammadifard, Noushin, Lana, Fernando, Zatonska, Katarzyna, Wielgosz, Andreas, Yusufali, Afzalhussein, Iqbal, Romaina, Lopez-Jaramillo, Patricio, Khatib, Rasha, Rosengren, Annika, Kutty, V Raman, Li, Wei, Liu, Jiankang, Liu, Xiaoyun, Yin, Lu, Teo, Koon, Anand, Sonia, Yusuf, Salim, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Xiaohong, Chang, Qing, Deng, Xiaoru, Cheng, Qing, Deng, Xinye, He, Bo, Hu, Xuan, Jia, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Yi, Sun, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Hongye, Zhang, Xiuwen, Zhao, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, and Mapanga, R

Abstract

The association between intake of fruits, vegetables, and legumes with cardiovascular disease and deaths has been investigated extensively in Europe, the USA, Japan, and China, but little or no data are available from the Middle East, South America, Africa, or south Asia.

Published
2017
Full Text
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15. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study

Author

Dehghan, Mahshid, Mente, Andrew, Zhang, Xiaohe, Swaminathan, Sumathi, Li, Wei, Mohan, Viswanathan, Iqbal, Romaina, Kumar, Rajesh, Wentzel-Viljoen, Edelweiss, Rosengren, Annika, Amma, Leela Itty, Avezum, Alvaro, Chifamba, Jephat, Diaz, Rafael, Khatib, Rasha, Lear, Scott, Lopez-Jaramillo, Patricio, Liu, Xiaoyun, Gupta, Rajeev, Mohammadifard, Noushin, Gao, Nan, Oguz, Aytekin, Ramli, Anis Safura, Seron, Pamela, Sun, Yi, Szuba, Andrzej, Tsolekile, Lungiswa, Wielgosz, Andreas, Yusuf, Rita, Hussein Yusufali, Afzal, Teo, Koon K, Rangarajan, Sumathy, Dagenais, Gilles, Bangdiwala, Shrikant I, Islam, Shofiqul, Anand, Sonia S, Yusuf, Salim, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Xiaohong, Chang, Qing, Deng, Xiaoru, Cheng, Qing, Deng, Xinye, He, Bo, Hu, Xuan, Jia, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Yi, Sun, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Hongye, Zhang, Xiuwen, Zhao, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, and Mapanga, R

Abstract

The relationship between macronutrients and cardiovascular disease and mortality is controversial. Most available data are from European and North American populations where nutrition excess is more likely, so their applicability to other populations is unclear.

Published
2017
Full Text
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